modelscope/DiffSynth-Studio

Health v2 · maintenance only

Adoption not part of the score

13003 stars · 1283 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

DiffSynth-Studio is an open-source diffusion model engine from the ModelScope community that integrates mainstream image, video, and audio generation models. It provides VRAM management, parameter quantization, and flexible training support for base models, LoRAs, and adapters.

Use cases

• generate images from text prompts with diffusion models
• generate videos from text or images
• train LoRA adapters for diffusion models on consumer GPUs
• run large diffusion models on low-VRAM graphics cards
• quantize diffusion models to NF4 or INT8
• generate audio with diffusion models
• fine-tune image generation models

When to avoid

• you need a simple end-user GUI app rather than a Python framework
• you only need non-diffusion generative models like plain LLMs
• you require production serving infrastructure with APIs out of the box

Facets

framework · maturity active

machine-learning deep-learning image-processing video-processing audio-processing llm-training gpu-computing deep-learning machine-learning image-processing artificial-intelligence python windows diffusion-models image-generation video-generation lora model-quantization vram-management text-to-image text-to-video modelscope video audio gpu linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="modelscope/DiffSynth-Studio")